Based on the laws of Gestalt psychology

a geometric active contour model for image segmentation is proposed in this paper. The energy function is mainly made of inter region dissimilar properties based on object background principle when contour curve is far from the object edges. The energy function is mainly made of intra region similar properties based on proximity principle when contour curve is situated near the object edge. The developed model

which incorporates the information of foreground and background regions

produces perceptual characteristics and is a general form of the geometric active contour model. Experiment on Lateral Ventricle and tumor images show that in general the model can deal with automatic segmentation of weak edge image efficiently. Furthermore

the experiment on immune cell shows that cytoplasm of immune cell is segmented out from two background regions of cell nucleolus and body fluid with the method.